Agent-based Big Data Analytics in retailing: A case study
Autonomous agents; Complex networks; Computer software; Consumer behavior; Data handling; Data mining; Decision making; Digital storage; Intelligent agents; Metadata; Multi agent systems; Software engineering; Business transaction; Complex structure; Data analytics; Hidden patterns; Industrial autom...
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2023
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my.uniten.dspace-222152023-05-29T13:59:39Z Agent-based Big Data Analytics in retailing: A case study Ahmed F.D. Jaber A.N. Majid M.B.A. Ahmad M.S. 57188658131 54934197600 57222473453 56036880900 Autonomous agents; Complex networks; Computer software; Consumer behavior; Data handling; Data mining; Decision making; Digital storage; Intelligent agents; Metadata; Multi agent systems; Software engineering; Business transaction; Complex structure; Data analytics; Hidden patterns; Industrial automation; Massive data sets; Pattern visualization; Retail; Big data The advent of social networks and the Internet of Things have created massive data sets with huge and complex structures. Thus, new technology for storage, analysis, and pattern visualization must be developed for further processing. Such data sets are appropriately termed as 'Big Data.' Big data Analytics is concerned with exposing and visualizing hidden patterns, as well as with analyzing the knowledge that is produced to facilitate decision making. In retailing, analyzing the massive data generated from business transactions is crucial to enhancing the insights of vendors into consumer behaviors and purchases, thus providing them an advantage in decision making. The capability to extract value from big data is a relevant issue, but the process is difficult as the volume and velocity of data increase. As a result, traditional business intelligence methods become inadequate. Consequently, we propose an agent-based paradigm in this study to facilitate the use of Big Data Analytics in retailing. The paradigm exploits agent characteristics such as autonomy, pro-activity, and intelligence in performing data analytics processes. We also review the background of the situation and discuss the characteristics, properties, applications, and challenges of integrating Big Data with multi-agent systems in retailing. � 2015 IEEE. Final 2023-05-29T05:59:39Z 2023-05-29T05:59:39Z 2015 Conference Paper 10.1109/ICSECS.2015.7333085 2-s2.0-84962045593 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962045593&doi=10.1109%2fICSECS.2015.7333085&partnerID=40&md5=53fd0b40c907b2ebc31247d77e3b8edc https://irepository.uniten.edu.my/handle/123456789/22215 7333085 67 72 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Autonomous agents; Complex networks; Computer software; Consumer behavior; Data handling; Data mining; Decision making; Digital storage; Intelligent agents; Metadata; Multi agent systems; Software engineering; Business transaction; Complex structure; Data analytics; Hidden patterns; Industrial automation; Massive data sets; Pattern visualization; Retail; Big data |
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57188658131 |
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57188658131 Ahmed F.D. Jaber A.N. Majid M.B.A. Ahmad M.S. |
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Conference Paper |
author |
Ahmed F.D. Jaber A.N. Majid M.B.A. Ahmad M.S. |
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Ahmed F.D. Jaber A.N. Majid M.B.A. Ahmad M.S. Agent-based Big Data Analytics in retailing: A case study |
author_sort |
Ahmed F.D. |
title |
Agent-based Big Data Analytics in retailing: A case study |
title_short |
Agent-based Big Data Analytics in retailing: A case study |
title_full |
Agent-based Big Data Analytics in retailing: A case study |
title_fullStr |
Agent-based Big Data Analytics in retailing: A case study |
title_full_unstemmed |
Agent-based Big Data Analytics in retailing: A case study |
title_sort |
agent-based big data analytics in retailing: a case study |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
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1806425825616068608 |